Simple Classification Model for the Sonar Dataset

Template Credit: Adapted from templates made available by Dr. Jason Brownlee of Machine Learning Mastery. For more information on this case study project, please consult Dr. Brownlee’s blog post at https://machinelearningmastery.com/standard-machine-learning-datasets/. Dataset Used: Connectionist Bench (Sonar, Mines vs. Rocks) Data Set ML Model: Classification, numeric inputs Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2C+Mines+vs.+Rocks%29 The Sonar Dataset involves the prediction […]

扭轉阿林斯基的規則

(從我的一個喜歡與尊敬的作家,賽斯 高汀) 在“激進分子規則”的書中,索爾·阿林斯基提出了十三條原則,可用在於政治環境之內的總和為零的遊戲,以去打擊和擊敗政治敵人。 這種方法在任何問題上都經常被雙方利用,並且把文明的交流批的體無完膚。如果你很確定你是對的,而且你願意把你的對手的理念焚毀,那麼每個人遲早都會站在一座燃燒的環境裡。 如果我們能扭轉這些規則,那又會有什麼樣的後果呢? 讓員工去作事生產,它比光有金錢流動還更有效益。 挑戰你的員工去探索,學習,和去適應不確定性。 找到方法去幫助其他人找到更堅實的基礎。 幫助他人去編寫他們可用實現目標的規則。 按照你想要被對待的方式去對待別人。 不要光去批評。當教育能有幫助的時後,即使它不具有娛樂性質,也要這樣做。 堅持利用你的策略,雖然在別人對他們感到厭煩之後,只有當他們停止工作時才停止始用。 不時讓壓力停止是適當的。當人們無法一致地忽略它時,人們會關注你和你所尋求的變化。 不必要去威脅他人。你自己可以做或不做。 建立一支有能力和耐心的團隊來完成需要做的工作。 如果你一次又一次地把你的積極想法擺在首位,你會為其他人提高標準。 在花費大量時間為別人尋找問題之前,先解決自己的問題。 慶祝你的員工的存在,讓他們無拘束的去做更多的事情,讓他們成為隊友並邀請更多夥伴。只與機構持異議,讓他人有自己的意見。

The Three Curves

In the book, The Dip: A Little Book That Teaches You When to Quit (and When to Stick), Seth Godin teaches us why we should always strive to be “the best in the world.” Here are my reflections on the topics discussed in the book. Being number one in your field matters and has tremendous […]

The End

In the book, Do the Work, Steven Pressfield talks about the self-sabotage we do to ourselves and what to do to overcome that self-sabotage. Here are my reflections on the topic in the book. All important or worthy effort can boil down to three acts: the beginning, the middle, and the end. After we slog […]

Simple Regression Ensemble Model for Boston Housing with Python

Credit: Template and study cases were adapted from blog posts made available by Dr. Jason Brownlee of Machine Learning Mastery. For more information on this case study project, please consult Dr. Brownlee’s blog post at https://machinelearningmastery.com/regression-machine-learning-tutorial-weka/. Dataset Used: Housing Values in Suburbs of Boston ML Model: Regression, numeric inputs Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Housing The purpose of […]

你會要還是你將要

(從我的一個喜歡與尊敬的作家,賽斯 高汀) “你會要嗎?”幾乎總是不能喚起有用的信息。 那是因為大家都想做好人,並且想要保護著你的感受。“當然,如果你建立起了甲,乙,丙或,丁,我當然會考慮去購買它。” 但從另一方面,如果你問“你將要嗎?”,你馬上就會得到真相。“是的,今天我將要從你那裡購買它” 你可以做完世界上所有的研究,但是直到你有膽量去開口問直接的問題,你很難能確定任何事。

The Crash

In the book, Do the Work, Steven Pressfield talks about the self-sabotage we do to ourselves and what to do to overcome that self-sabotage. Here are my reflections on the topic in the book. It is not enough to just get over the wall, everything inevitably “crashes” at some point. “Ringing the Bell” In SEAL […]